Integrating protein language models and automatic biofoundry for enhanced protein evolution

Integrating protein language models and automatic biofoundry for enhanced protein evolution

Abstract Traditional protein engineering methods, such as directed evolution, while effective, are often slow and labor-intensive. Advances in machine learning and automated biofoundry present new opportunities for optimizing these processes. This study devises a protein language model-enabled autom...

Full description

Saved in:
Bibliographic Details
Main Authors: Qiang Zhang, Wanyi Chen, Ming Qin, Yuhao Wang, Zhongji Pu, Keyan Ding, Yuyue Liu, Qunfeng Zhang, Dongfang Li, Xinjia Li, Yu Zhao, Jianhua Yao, Lei Huang, Jianping Wu, Lirong Yang, Huajun Chen, Haoran Yu
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-56751-8
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41467-025-56751-8

Similar Items